activity
20152023
most citedContextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression

83 citations · 179 across the 19 of their papers we have counts for

collaborators

19 papers

eess.SP2023★ 3 cited

HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar

Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach

Detecting human presence indoors with millimeter-wave frequency-modulated continuous-wave (FMCW) radar faces challenges from both moving and stationary clutter. This work proposes…

eess.IV2023

Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression

A. Burakhan Koyuncu, Panqi Jia, Atanas Boev +2

Entropy estimation is essential for the performance of learned image compression. It has been demonstrated that a transformer-based entropy model is of critical importance for achi…

cs.CV2023★ 1 cited

Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning

Furkan Kaynar, Sudarshan Rajagopalan, Shaobo Zhou +1

A robot operating in unstructured environments must be able to discriminate between different grasping styles depending on the prospective manipulation task. Having a system that a…

cs.HC2023★ 1 cited

Large-Scale Collaborative Writing: Technical Challenges and Recommendations

Markus Hofbauer, Christoph Bachhuber, Christopher Kuhn +3

Collaborative writing is essential for teams that create documents together. Creating documents in large-scale collaborations is a challenging task that requires an efficient workf…

cs.CV2023

MCROOD: Multi-Class Radar Out-Of-Distribution Detection

Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach

Out-of-distribution (OOD) detection has recently received special attention due to its critical role in safely deploying modern deep learning (DL) architectures. This work proposes…

eess.SP2023

Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar

Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach

Out-of-distribution (OOD) detection recently has drawn attention due to its critical role in the safe deployment of modern neural network architectures in real-world applications.…